Evidence map›Paper›PMID 30002503›Full record

ArticleScientific reports2018

Comprehensive analysis of competitive endogenous RNAs network associated with head and neck squamous cell carcinoma.

Xiao-Nan Fang, Miao Yin, Hua Li, Cheng Liang, Cong Xu, Gui-Wen Yang, Hua-Xiang Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 66 citations in OpenAlex.

  1. Exploring the Healing Powers of Histatins: From Oral Health to Therapeutics.International journal of molecular sciences · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Identification and Characterization of Non-Coding RNAs in Thymoma.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  15. Article
  16. Article
  17. Integrative Analysis of miRNAs Identifies Clinically Relevant Epithelial and Stromal Subtypes of Head and Neck Squamous Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xiao-Nan FangShandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, 250014, China.
Miao YinShandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, 250014, China.
Hua LiShandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, 250014, China.
Cheng LiangSchool of Information Science & Engineering, Shandong Normal University, Jinan, 250358, China.
Cong XuShandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, 250014, China.
Gui-Wen YangShandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, 250014, China. yanggw@sdnu.edu.cn.
Hua-Xiang ZhangSchool of Information Science & Engineering, Shandong Normal University, Jinan, 250358, China. huaxzhang@163.com.
Shandong Normal University · CNBinzhou University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 61572298National Natural Science Foundation of China (National Science Foundation of China) 61602283National Natural Science Foundation of China (National Science Foundation of China) 61772322Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2011HZ004Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2016FB10Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2017BC073
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) can regulate gene expression directly or indirectly through interacting with microRNAs (miRNAs). However, the role of differentially expressed mRNAs, lncRNAs and miRNAs, and especially their related competitive endogenous RNAs (ceRNA) network in head and neck squamous cell carcinoma (HNSCC), is not fully comprehended. In this paper, the lncRNA, miRNA, and mRNA expression profiles of 546 HNSCC patients, including 502 tumor and 44 adjacent non-tumor tissues, from The Cancer Genome Atlas (TCGA) were analyzed. 82 miRNAs, 1197 mRNAs and 1041 lncRNAs were found to be differentially expressed in HNSCC samples (fold change ≥ 2; P < 0.01). Further bioinformatics analysis was performed to construct a lncRNA-miRNA-mRNA ceRNA network of HNSCC, which includes 8 miRNAs, 71 lncRNAs and 16 mRNAs. Through survival analysis based on the expression profiles of RNAs in the ceRNA network, we detected 1 mRNA, 1 miRNA and 13 lncRNA to have a significant impact on the overall survival of HNSCC patients (P < 0.05). Finally, some lncRNAs, which are more important for survival, were also predicted. Our research provides data to further understand the molecular mechanisms implicated in HNSCC.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorComputational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHead and Neck NeoplasmsHumansKaplan-Meier EstimateMicroRNAsRNA, Long NoncodingSequence Analysis, RNASquamous Cell Carcinoma of Head and NeckBiomarkers, TumorMicroRNAsRNA, Long Noncoding

Identifiers

PMID30002503
PMCPMC6043529
OpenAlexW2849633820

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.